Evidence map›Paper›PMID 36526323›Full record

Observational studyBMJ open2022

Identification of risk factors associated with prolonged hospital stay following primary knee replacement surgery: a retrospective, longitudinal observational study.

Rebecca Wilson, Ruta Margelyte, Maria Theresa Redaniel, Emily Eyles, Tim Jones, Chris Penfold, Ashley Blom, Andrew Elliott, Alison Harper, Tim Keen and 2 more

Open access · goldAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Rebecca WilsonThe National Institute for Health Research Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK rebecca.wilson@bristol.ac.uk.ORCID 0000-0003-4709-7260
Ruta MargelyteTranslational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0002-7914-8037
Maria Theresa RedanielThe National Institute for Health Research Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK.
Emily EylesThe National Institute for Health Research Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK.ORCID 0000-0002-2695-7172
Tim JonesThe National Institute for Health Research Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK.ORCID 0000-0002-1199-8668
Chris PenfoldThe National Institute for Health Research Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK.ORCID 0000-0001-8654-353X
Ashley BlomTranslational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Andrew ElliottNorth Bristol NHS Trust, Bristol, UK.
Alison HarperThe National Institute for Health Research Applied Research Collaboration South-West Peninsula (PenARC), University of Exeter, Exeter, UK.
Tim KeenNorth Bristol NHS Trust, Bristol, UK.
Martin PittThe National Institute for Health Research Applied Research Collaboration South-West Peninsula (PenARC), University of Exeter, Exeter, UK.
Andrew JudgeTranslational Health Sciences, University of Bristol, Bristol, UK.
University Hospitals Bristol NHS Foundation Trust · GBUniversity of Bristol · GBNorth Bristol NHS Trust · GBUniversity of Exeter · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify risk factors associated with prolonged length of hospital stay and staying in hospital longer than medically necessary following primary knee replacement surgery.

designRetrospective, longitudinal observational study.

settingElective knee replacement surgeries between 2016 and 2019 were identified using routinely collected data from an NHS Trust in England.

participantsThere were 2295 knee replacement patients with complete data included in analysis. The mean age was 68 (SD 11) and 60% were female. OUTCOME MEASURES: We assessed a binary length of stay outcome (>7 days), a continuous length of stay outcome (≤30 days) and a binary measure of whether patients remained in hospital when they were medically fit for discharge.

resultsThe mean length of stay was 5.0 days (SD 3.9), 15.4% of patients were in hospital for >7 days and 7.1% remained in hospital when they were medically fit for discharge. Longer length of stay was associated with older age (

conclusionsThe regression models could be used to identify which patients are likely to occupy hospital beds for longer. This could be helpful in scheduling operations to aid hospital efficiency by planning these patients' operations for when the hospital is less busy.

Indexed as

Arthroplasty, Replacement, KneeAgedFemaleHumansLength of StayMalePatient DischargeRetrospective StudiesRisk Factorsadult orthopaedicskneeorthopaedic & trauma surgeryrheumatologystatistics & research methods

Identifiers

PMID36526323
PMCPMC9764602
OpenAlexW4311693224

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.